MDATA : a new knowledge representation model : theory, methods and applications / Yan Jia, Zhaoquan Gu, Aiping Li (eds.).
Jia, Yan (Computer scientist); Gu, Zhaoquan.; Li, Aiping.
2021
Q387
Available Online

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Title
MDATA : a new knowledge representation model : theory, methods and applications / Yan Jia, Zhaoquan Gu, Aiping Li (eds.).
ISBN
9783030715908 (electronic bk.)
3030715906 (electronic bk.)
3030715892
9783030715892
DOI
https://doi.org/10.1007/978-3-030-71590-8
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-71590-8 doi
Call Number
Q387
Dewey Decimal Classification
006.3/32
005.7
Summary
Knowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way. This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment. The MDATA model should be of interest to readers from many research fields such as database, cyberspace security, and social network, as the need for the knowledge representation arises naturally in many practical scenarios.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 26, 2021).
Added Author
Jia, Yan (Computer scientist)
Gu, Zhaoquan.
Li, Aiping.
Series
Lecture notes in computer science ; 12647.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Available in Other Form
MDATA.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Introduction to the MDATA Model
The Framework of the MDATA Computing Model
Spatiotemporal Data Cleaning and Knowledge Fusion
Chinese Named Entity Recognition: Applications and Challenges
Joint Extraction of Entities and Relations: An Advanced BERT-based Decomposition Method
Entity Alignment: Optimization by Seed Selection
Knowledge Extraction: Automatic Classification of Matching Rules
Network Embedding Attack: An Euclidean Distance based Method
Few-Shot Knowledge Reasoning: An Attention Mechanism based Method
Applications of Knowledge Representation Learning
Detection and Defense Methods of Cyber Attacks
A Distributed Framework for APT Attack Analysis
Social Unrest Events Prediction by Contextual Gated Graph Convolutional Networks
Information Cascading in Social Networks.

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